Stochastic optimization with value function approximation for micro-grid operation. - Joohyun Shin; Jay H. Lee; Matthew J. Realff (CDC, 2016)

Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand. - Joohyun Shin; Jay H. Lee (Comput. Chem. Eng., 2016)

Machine learning: Overview of the recent progresses and implications for the process systems engineering field. - Jay H. Lee; Joohyun Shin; Matthew J. Realff (Comput. Chem. Eng., 2018)

An optimization based strategy for crude selection in a refinery with lube hydro-processing. - Kyungseok Noh; Joohyun Shin; Jay H. Lee (Comput. Chem. Eng., 2018)

Reinforcement Learning - Overview of recent progress and implications for process control. - Joohyun Shin; Thomas A. Badgwell; Kuang-Hung Liu; Jay H. Lee (Comput. Chem. Eng., 2019)

Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming. - Joohyun Shin; Jay H. Lee (Comput. Chem. Eng., 2019)

Customizing intelligent recommendation study with multiple advisors based on hierarchy structured fuzzy-analytic hierarchy process. - Seong Wan Park; Libor Mesicek; Joohyun Shin; Kitae Bae; Kyungjin An; Hoon Ko (Concurr. Comput. Pract. Exp., 2021)